AI legal-risk assessment
Mapping the system, intended use, affected people, data inputs, outputs and decision points in order to identify the contracts, rights and liabilities that require control.

Artificial Intelligence Law · Lebanon
Legal advice for businesses adopting AI, negotiating AI-provider contracts, protecting confidential data, or facing AI-related disputes. Artificial intelligence (AI) systems can affect confidential information, personal data, intellectual property, professional responsibility, evidence and civil liability. The legal structure should be designed before the tool becomes operationally critical.
Contact the office about this matter
How the practice helps
Mapping the system, intended use, affected people, data inputs, outputs and decision points in order to identify the contracts, rights and liabilities that require control.
Reviewing provider terms, warranties, data use, confidentiality, intellectual property, audit rights, service levels, indemnities and the allocation of responsibility for outputs.
Designing proportionate rules for approved tools, sensitive information, human review, documentation, testing, escalation and accountability within the organisation.
Analysing harmful or inaccurate outputs, automated decisions, deepfakes and other AI-related disputes by distinguishing the roles of provider, deployer, professional user and affected person.
Legal context
AI-related questions can engage existing rules on contract, civil responsibility, privacy, intellectual property, consumer protection, professional duties, evidence and private international law. Foreign regulatory duties may also matter when providers, users, data or affected markets are located outside Lebanon. A practical approach identifies the system’s real use and assigns responsibility across its lifecycle.
Frequently asked questions
Where AI use is material, a proportionate policy can define approved tools, prohibited inputs, human-review requirements, recordkeeping, escalation and responsibility. The policy should reflect actual workflows rather than operate as a generic statement.
The answer depends on the facts and applicable law. The analysis may examine the provider, deployer, professional user and other actors, together with contractual allocation, control, foreseeability, fault, causation and the role of human review.
That may expose confidential, personal or protected information and create contractual or professional risks. Organisations should define which data may be used, with which tools, under what account settings and with what review and retention controls.
Professional enquiries
A brief outline of the issue and any approaching deadline is enough to begin. The office will clarify whether it can assist and explain the proposed scope and fees before work starts.
Mar Roukoz, Lebanon
For a faster initial review, mention the matter type, any approaching deadline, the parties’ locations and the documents available. Do not send highly sensitive information before the communication channel is confirmed.
General information only. This page does not constitute legal advice and does not create an attorney–client relationship.